UAV-Aided Source Localization in Urban Environments Based on Ray Launching Simulation

Zhuangzhuang Dai; Peter R. Shepherd; Robert J. Watson

doi:10.1109/APUSNCURSINRSM.2017.8072340

UAV-Aided Source Localization in Urban Environments Based on Ray Launching Simulation

Zhuangzhuang Dai, Peter R. Shepherd, Robert J. Watson

Department of Electronic & Electrical Engineering

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

2 Citations (SciVal)

Abstract

A novel source localization approach suitable for urban environments is proposed. The reliability against noise and other practical issues are investigated via simulation. A fingerprint database of transmitter and receiver candidate locations is obtained using an efficient ray launching simulator developed in earlier work. Following a pre-described path, a UAV (unmanned aerial vehicle) equipped with a radio receiver is simulated to generate time series of observations such as signal strength and angle-of-arrival for all possible transmitter candidate locations. The localisation algorithm uses an approach based on the DFT (discrete Fourier transform) and dynamic time warping (DTW). Using the fingerprint database and the measured time-series the best matching transmitter location is found. The algorithm is found to be robust to significant measurement errors and also to signification deviations in the actual path flown by the UAV.

Original language	English
Title of host publication	2017 IEEE Antennas and Propagation Society International Symposium, Proceedings
Publisher	IEEE
Pages	595-596
Number of pages	2
ISBN (Electronic)	9781538632840
DOIs	https://doi.org/10.1109/APUSNCURSINRSM.2017.8072340
Publication status	Published - 18 Oct 2017
Event	2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017 - San Diego, USA United States Duration: 9 Jul 2017 → 14 Jul 2017

Conference

Conference	2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017
Country/Territory	USA United States
City	San Diego
Period	9/07/17 → 14/07/17

Keywords

Propagation
Ray launching
Source localization

ASJC Scopus subject areas

Radiation
Computer Networks and Communications
Instrumentation

Access to Document

10.1109/APUSNCURSINRSM.2017.8072340

Cite this

UAV-Aided Source Localization in Urban Environments Based on Ray Launching Simulation. / Dai, Zhuangzhuang; Shepherd, Peter R.; Watson, Robert J.
2017 IEEE Antennas and Propagation Society International Symposium, Proceedings. IEEE, 2017. p. 595-596.

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Dai, Z, Shepherd, PR & Watson, RJ 2017, UAV-Aided Source Localization in Urban Environments Based on Ray Launching Simulation. in 2017 IEEE Antennas and Propagation Society International Symposium, Proceedings. IEEE, pp. 595-596, 2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017, San Diego, USA United States, 9/07/17. https://doi.org/10.1109/APUSNCURSINRSM.2017.8072340

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title = "UAV-Aided Source Localization in Urban Environments Based on Ray Launching Simulation",

abstract = "A novel source localization approach suitable for urban environments is proposed. The reliability against noise and other practical issues are investigated via simulation. A fingerprint database of transmitter and receiver candidate locations is obtained using an efficient ray launching simulator developed in earlier work. Following a pre-described path, a UAV (unmanned aerial vehicle) equipped with a radio receiver is simulated to generate time series of observations such as signal strength and angle-of-arrival for all possible transmitter candidate locations. The localisation algorithm uses an approach based on the DFT (discrete Fourier transform) and dynamic time warping (DTW). Using the fingerprint database and the measured time-series the best matching transmitter location is found. The algorithm is found to be robust to significant measurement errors and also to signification deviations in the actual path flown by the UAV.",

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N2 - A novel source localization approach suitable for urban environments is proposed. The reliability against noise and other practical issues are investigated via simulation. A fingerprint database of transmitter and receiver candidate locations is obtained using an efficient ray launching simulator developed in earlier work. Following a pre-described path, a UAV (unmanned aerial vehicle) equipped with a radio receiver is simulated to generate time series of observations such as signal strength and angle-of-arrival for all possible transmitter candidate locations. The localisation algorithm uses an approach based on the DFT (discrete Fourier transform) and dynamic time warping (DTW). Using the fingerprint database and the measured time-series the best matching transmitter location is found. The algorithm is found to be robust to significant measurement errors and also to signification deviations in the actual path flown by the UAV.

AB - A novel source localization approach suitable for urban environments is proposed. The reliability against noise and other practical issues are investigated via simulation. A fingerprint database of transmitter and receiver candidate locations is obtained using an efficient ray launching simulator developed in earlier work. Following a pre-described path, a UAV (unmanned aerial vehicle) equipped with a radio receiver is simulated to generate time series of observations such as signal strength and angle-of-arrival for all possible transmitter candidate locations. The localisation algorithm uses an approach based on the DFT (discrete Fourier transform) and dynamic time warping (DTW). Using the fingerprint database and the measured time-series the best matching transmitter location is found. The algorithm is found to be robust to significant measurement errors and also to signification deviations in the actual path flown by the UAV.

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UAV-Aided Source Localization in Urban Environments Based on Ray Launching Simulation

Abstract

Conference

Keywords

ASJC Scopus subject areas

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